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analyze-performance-rank-and-read

Step of the analyze-performance playbook: ranks creative by angle, hook and format with spend gates, writes short per-channel reads and drafts what to make next. Run analyze-performance instead; not for direct use.

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gooseworks-ai/goose-skills

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Files included (2)

  • SKILL.md1.8 KB
  • skill.meta.json427 B

SKILL.md (original)

Review the instructions the agent will receive before you install.

Creative ranking and channel reads (atom)

Load: ../analyze-performance/references/creative-and-channels.md.

Inputs: meta_read performance (ranked by spend; the scorecard on the settled days: 14 minus days: 3 window, 7- and 28-day reads for the fatigue trend); each Goose ad's angle annotation (ads_creative_read and the campaign concepts); the non-Goose export; UTM store conversion per angle; email export; social_analytics_get posts and accounts; Google export and search terms; app/local exports.

Do:

  1. Creative: group by angle → hook → format; rank by spend; apply minimum-spend gates; verdict with confidence; fatigue trend; name no winner if insight.available is false; state coverage.
  2. Build the per-channel and per-ad scorecards against last run's rows and the angle history line (../analyze-performance/references/run-memory.md).
  3. Draft "what to make next" from the history: tiring 2+-run winners first, retire losers, fair test for too-early, organic overperformers as paid candidates; nothing that already failed without a new reason; unmade items carried with their first date — producer and date for each.
  4. Email & SMS, organic, Google (+ wasted-spend terms), apps, local: one short block each, or "not measured this week" / "not used".
  5. Future rows: creators (codes), outreach (reply rates), WhatsApp — named, never dropped.

Output: the scorecards for the run record; the report's Creative ranking, channel blocks, channel-table rows and What-to-make-next draft.

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